Physiological Noise Regression in Functional Magnetic Resonance Imaging Analysis of Optic Flow Responses in Patients with Post-Concussive Vestibular Dysfunction
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Tulpule, Ashwini
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Allen, Jason
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Abstract
Post-concussive vestibular dysfunction (PCVD) can affect those with mild traumatic brain injuries (mTBIs) months after injury, resulting in diminished quality of life as patients struggle with visual motion sensitivity, imbalance, and disorientation. Visual motion sensitivity is often elicited by increased optic flow in visual scenes, which leads to the activation of visual and multimodal stimulus integration areas; this activation can be measured through task-based functional magnetic resonance imaging (fMRI). However, physiological noise introduced by changes in respiration and cardiac activity may influence the neural dynamics during fMRI testing, potentially leading to erroneous conclusions, particularly in patients with concussion who may have impairments in cerebrovascular reactivity. This study examines the neural activity of PCVD patients under high and low optic flow conditions and further investigates the impacts of including or excluding physiological noise regression in fMRI analysis. Results indicate increased activation of multisensory processing areas during high optic flow conditions in PCVD patients, corroborating prior findings. Furthermore, including physiological noise regression notably changes the amount and location of clusters with significant activation, demonstrating the importance of respiration and cardiac activity on fMRI analysis in the PCVD population.
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Undergraduate Research Option Thesis